Construction of dominant factor presumption model for postoperative hospital days from operation records

Takanori Yamashita; Yoshifumi Wakata; Satoshi Hamai; Yasuharu Nakashima; Yukihide Iwamoto; Brendan Flanagan; Naoki Nakashima; Sachio Hirokawa

doi:10.1109/IIAI-AAI.2014.16

Construction of dominant factor presumption model for postoperative hospital days from operation records

Takanori Yamashita, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Brendan Flanagan, Naoki Nakashima, Sachio Hirokawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The secondary use of clinical text data to improve the quality and the efficiency of medical care is gaining much attention. However, there are few previous researches that have given feedback to clinical situations. The present paper analyzes the words that appear in operation records to predict the postoperative length of stay. SVM (support vector machine) and feature selection are applied to predict if a stay is longer than the standard length of 25 days. It was confirmed that with less than 20 feature words we can predict if a stay is longer or not with almost the optimal prediction performance.

Original language	English
Title of host publication	Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781479941735
DOIs	https://doi.org/10.1109/IIAI-AAI.2014.16
Publication status	Published - Sept 29 2014
Event	3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 - Kitakyushu, Japan Duration: Aug 31 2014 → Sept 4 2014

Publication series

Name	Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

Other

Other	3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014
Country/Territory	Japan
City	Kitakyushu
Period	8/31/14 → 9/4/14

All Science Journal Classification (ASJC) codes

Information Systems

Access to Document

10.1109/IIAI-AAI.2014.16

Cite this

Yamashita, T., Wakata, Y., Hamai, S., Nakashima, Y., Iwamoto, Y., Flanagan, B., Nakashima, N., & Hirokawa, S. (2014). Construction of dominant factor presumption model for postoperative hospital days from operation records. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014 (pp. 19-24). [6913260] (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2014.16

Construction of dominant factor presumption model for postoperative hospital days from operation records. / Yamashita, Takanori; Wakata, Yoshifumi; Hamai, Satoshi et al.
Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 19-24 6913260 (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yamashita, T, Wakata, Y, Hamai, S , Nakashima, Y, Iwamoto, Y, Flanagan, B, Nakashima, N & Hirokawa, S 2014, Construction of dominant factor presumption model for postoperative hospital days from operation records. in Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014., 6913260, Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 19-24, 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014, Kitakyushu, Japan, 8/31/14. https://doi.org/10.1109/IIAI-AAI.2014.16

Yamashita T, Wakata Y, Hamai S , Nakashima Y, Iwamoto Y, Flanagan B et al. Construction of dominant factor presumption model for postoperative hospital days from operation records. In Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 19-24. 6913260. (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014). doi: 10.1109/IIAI-AAI.2014.16

Yamashita, Takanori ; Wakata, Yoshifumi ; Hamai, Satoshi et al. / Construction of dominant factor presumption model for postoperative hospital days from operation records. Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 19-24 (Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014).

@inproceedings{d11ac88804fc4388b58b740842d4b31a,

title = "Construction of dominant factor presumption model for postoperative hospital days from operation records",

abstract = "The secondary use of clinical text data to improve the quality and the efficiency of medical care is gaining much attention. However, there are few previous researches that have given feedback to clinical situations. The present paper analyzes the words that appear in operation records to predict the postoperative length of stay. SVM (support vector machine) and feature selection are applied to predict if a stay is longer than the standard length of 25 days. It was confirmed that with less than 20 feature words we can predict if a stay is longer or not with almost the optimal prediction performance.",

author = "Takanori Yamashita and Yoshifumi Wakata and Satoshi Hamai and Yasuharu Nakashima and Yukihide Iwamoto and Brendan Flanagan and Naoki Nakashima and Sachio Hirokawa",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014 ; Conference date: 31-08-2014 Through 04-09-2014",

year = "2014",

month = sep,

day = "29",

doi = "10.1109/IIAI-AAI.2014.16",

language = "English",

series = "Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "19--24",

booktitle = "Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014",

address = "United States",

}

TY - GEN

T1 - Construction of dominant factor presumption model for postoperative hospital days from operation records

AU - Yamashita, Takanori

AU - Wakata, Yoshifumi

AU - Hamai, Satoshi

AU - Nakashima, Yasuharu

AU - Iwamoto, Yukihide

AU - Flanagan, Brendan

AU - Nakashima, Naoki

AU - Hirokawa, Sachio

PY - 2014/9/29

Y1 - 2014/9/29

N2 - The secondary use of clinical text data to improve the quality and the efficiency of medical care is gaining much attention. However, there are few previous researches that have given feedback to clinical situations. The present paper analyzes the words that appear in operation records to predict the postoperative length of stay. SVM (support vector machine) and feature selection are applied to predict if a stay is longer than the standard length of 25 days. It was confirmed that with less than 20 feature words we can predict if a stay is longer or not with almost the optimal prediction performance.

AB - The secondary use of clinical text data to improve the quality and the efficiency of medical care is gaining much attention. However, there are few previous researches that have given feedback to clinical situations. The present paper analyzes the words that appear in operation records to predict the postoperative length of stay. SVM (support vector machine) and feature selection are applied to predict if a stay is longer than the standard length of 25 days. It was confirmed that with less than 20 feature words we can predict if a stay is longer or not with almost the optimal prediction performance.

UR - http://www.scopus.com/inward/record.url?scp=84918557783&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84918557783&partnerID=8YFLogxK

U2 - 10.1109/IIAI-AAI.2014.16

DO - 10.1109/IIAI-AAI.2014.16

M3 - Conference contribution

AN - SCOPUS:84918557783

T3 - Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

SP - 19

EP - 24

BT - Proceedings - 2014 IIAI 3rd International Conference on Advanced Applied Informatics, IIAI-AAI 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IIAI International Conference on Advanced Applied Informatics, IIAI-AAI 2014

Y2 - 31 August 2014 through 4 September 2014

ER -

Construction of dominant factor presumption model for postoperative hospital days from operation records

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this